Characterizing Objective Functions in Simulation Optimization using Agent-Based Models

Trad, Lorka (2023) Characterizing Objective Functions in Simulation Optimization using Agent-Based Models. Bachelor thesis, Institute for Visual and Analytic Computing, University of Rostock.

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Abstract

The characterization of objective functions for agent-based simulation models is a crucial step to enable the simulation optimization. This bachelor work involves a comprehensive review of the existing literature to select appropriate metrics to characterize the response surfaces. The metrics are applied to different agent-based models with the goal of analyzing the properties of the selected models. The submitted work reviews existing research on the topic, and documents the methodology employed, implementation details, simulation model selection, the experiments performed, and the analysis of results.